Service
Data, ML & AI
Data foundations, machine learning, and applied AI — done as a first principle, not a bolt-on. The platform we built runs a multi-assistant AI analyst layer and an event-driven automation backbone in production.
Overview
Most "AI strategy" engagements produce a slide about possibilities. We produce working systems. On our own platform we built an AI assistant layer of specialist analysts and an event bus that runs automation across the estate — AI-native from the data schema up.
We bring that discipline to clients in the right order: get the data foundation right, then layer machine learning where it earns its keep, then add the agent and automation layer on top. We are equally happy advising the board on where AI actually creates value and sitting with your engineers shipping it.
How we work
Engagement arc
Data foundation
The unglamorous prerequisite. Data model, ownership, quality, and access — because every ML and AI ambition fails on a weak foundation. We fix this first.
Use-case triage
Which use cases actually create value, which are theatre. We score candidates on value, feasibility, and data-readiness — and tell you which to drop.
Build & evaluate
We build the models and the AI features with an evaluation harness from day one — so you ship on evidence of quality, not vibes. RAG, fine-tuning, or agents as the use case demands.
Productionise
Monitoring, guardrails, cost controls, and the human-in-the-loop design that keeps an AI system trustworthy in production — not just impressive in a demo.
What you get
Deliverables
- Data-foundation assessment and remediation plan
- Scored AI/ML use-case portfolio with go/no-go per candidate
- Production models / AI features with an evaluation harness
- Guardrails, monitoring, cost controls, human-in-the-loop design
- Board-level view of where AI creates defensible value
Sectors
Most relevant to this service
Let's scope something
Every engagement starts with a short scoping call. No commitment — we will tell you honestly if we are the right firm.